Scientific Workflow has seen massive growth in recent years as science becomes increasingly reliant on the analysis of massive data sets and the use of distributed resources. The workflow programming paradigm is seen as a means of managing the complexity in defining the analysis, executing the necessary computations on distributed resources, collecting information about the analysis results, and providing means to record and reproduce the scientific analysis.
Workflows for e-Science presents an overview of the current state of the art in the field. It brings together research from many leading computer scientists in the workflow area and provides real world examples from domain scientists actively involved in e-Science. The computer science topics addressed in the book provide a broad overview of active research focusing on the areas of workflow representations and process models, component and service-based workflows, standardization efforts, workflow frameworks and tools, and problem solving environments and portals.
The topics covered represent a broad range of scientific workflow and will be of interest to a wide range of computer science researchers, domain scientists interested in applying workflow technologies in their work, and engineers wanting to develop workflow systems and tools. As such Workflows for e-Science is an invaluable resource for potential or existing users of workflow technologies and a benchmark for developers and researchers.
Workflow is becoming extremely important within coarse-grained distributed system models for e-Science applications. As the technological backbone of the Grid infrastructure becomes standardised, scientists need the ability to specify flows of control within the chains of applications that constitute their experiments. This timely book presents an overview of the current state of the art within established projects, presenting many different aspects of workflow from network users to tool builders. This book aims to provide a broad overview of active research, from a number of different perspectives e.g. from application requirements to representations, infrastructures and tools for aiding the workflow composition process. The topics covered represent a broad range of aspects of workflow and will be of interest to a wide range of practitioners, from computational experimentalists in the multitude of e-Science fields, to the computer scientists and engineers within Grid and peer-to-peer computing.
Ian J. Taylor
BPEL Condor DAG Grid Jini Jxta OGSA OGSI Workflow Management complexity distributed systems e-Science modeling petri net programming